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AuthorMasood, Mudassir
AuthorGhrayeb, Ali
AuthorBabu, Prabhu
AuthorKhalil, Issa
AuthorHasna, Mazen
Available date2020-10-12T09:21:47Z
Publication Date2017
Publication Name2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
ResourceScopus
URIhttp://dx.doi.org/10.1109/GlobalSIP.2016.7905987
URIhttp://hdl.handle.net/10576/16397
AbstractWe consider the problem of secrecy rate maximization in a multi-input multi-output multi-eavesdropper (MIMOME) wiretap channel and present an exact solution. A general system model with a multi-antenna eavesdropper and a multi-antenna full-duplex receiver is considered. In particular, we perform joint beamforming and artificial noise optimization in an effort to maximize the achievable secrecy rate. The optimization is performed in the presence of artificial noise generated by both transmitter and legitimate receiver. The resulting optimization problem is non-convex and difficult to solve. We develop a minorization-maximization algorithm to solve the problem. It is iterative in nature and guaranteed to converge to a locally optimal solution. The results can therefore be used to benchmark existing methods. Numerical results are presented to demonstrate the efficacy of the proposed approach.
SponsorThis work was made possible by NPRP grant NPRP 8-052-2-029 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectalgorithm
an-based mimome secrecy rate
TitleA minorization-maximization algorithm for an-based mimome secrecy rate maximization
TypeConference Paper
Pagination975-980
dc.accessType Abstract Only


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